Spatial decomposition of predation risk using resource selection functions: an example in a wolf /elk predator /prey system

By Mark Hebblewhite, Evelyn H. Merrill, T. Mcdonald. 2005

339 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8664b653b6478a6b0c61ae39b7a8e7b08f150428

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. W. Ripple
2. M. Boyce
3. R. Beschta
4. M. Valeix
5. Rob Slotow
6. Hervé Fritz
7. Evelyn H. Merrill
8. David W. Macdonald

In Nature and Landscape Conservation

1. W. Ripple
2. R. Beschta
3. M. Boyce
4. Evelyn H. Merrill
5. A. Agrawal
6. H. Beyer
7. E. Gese
8. T. Atwood

Citations in the corpus

• Scale for resource selection functions (2006, methodology): “For example, RSFs have been used to map a predator and prey on the same landscape to identify habitats where encounters are likely to occur between predator and prey (Hebblewhite et al ., 2005).”
• Feeding habitat selection by hunting leopards Panthera pardus in a woodland savanna: prey catchability versus abundance (2007, background): “Hebblewhite et al. (2005) found that wolves, Canis lupus, also favoured habitats where it was easier to kill elk, Cervus elaphus, their primary prey.”
• Know Thy Enemy: Experience Affects Elk Translocation Success in Risky Landscapes (2007, background): “Wolves consistently avoid roads across North America (Mladenoff et al. 1995, Arjo and Pletscher 2004, Whittington et al. 2005), indicating that such a trade-off in predation risk might exist wherever wolves and humans share the landscape (e.g., Hebblewhite et al. 2005b).”
• Competition, predation, and migration: Individual choice patterns of Serengeti migrants captured by hierarchical models (2014, background): “Landscape features such as dense thickets or drainage beds conceal predators or provide predictable locations where predators might encounter prey (Hebblewhite et al. 2005, Hopcraft et al. 2005, Balme et al. 2007, Kauffman et al. 2007, Valeix et al. 2009, Anderson et al. 2010).”
• Does the risk of encountering lions influence African herbivore behaviour at waterholes? (2009, background): “Because there are factors other than lion presence that characterise predation risk (e.g. activity of other predators, habitat characteristics; see Hebblewhite et al. 2005), our work is restricted to the study of the short-term and long-term probability of lion presence (hereafter short-term and…”
• Filling key gaps in population and community ecology (2007, background): “For example, many studies have demonstrated a substantial influence of landscape or local conditions on species abundance and the outcomes of species interactions (eg Hebblewhite et al .”
• Linking wolves to willows via risk-sensitive foraging by ungulates in the northern Yellowstone ecosystem (2006, background): “Landscape features can affect the susceptibility of ungulates to predation by wolves (Hebblewhite et al., 2005).”
• The attraction of the known: the importance of spatial familiarity in habitat selection in wapiti Cervus elaphus (2009, methodology): “This makes the discrete choice multinomial logit regression model ideal for our analysis ( Hausman and McFadden 1984, Cooper and Millspaugh 1999, Manly et al. 2002).”
• Spatial Partitioning of Predation Risk in a Multiple Predator–Multiple Prey System (2009, methodology): “Thus, following Manly et al. (2002) and Hebblewhite et al. (2005) we dropped the intercept and denominator from the logistic form for this relative function.”
• Habitat heterogeneity and mammalian predator–prey interactions (2012, background): “…Review, 42, 55–77 Well-hidden dens, nests and dense vegetation associated with certain habitat types may decrease prey detection probability, particularly for specific age-classes (Fortin et al. 2005a, Hebblewhite et al. 2005, Panzacchi et al. 2009), thus decreasing the amount of available prey.”